Modeling contextual influences on object recognition

摘要: Experiments in scene perception have shown that the human visual system makes extensive use of contextual information for facilitating object detection and recognition. However, the issue of how to formally model such contextual influences is still largely open. In this work, we introduce a perceptually motivated model of context-based object recognition. Most modeling attempts so far have defined the ‘context’of an object in a scene in terms of other previously recognized objects within the scene. The drawback of this conceptualization is that it renders the complexity of context analysis to be at par with the problem of individual object recognition. An alternative view of context relies on using the entire scene information holistically. This approach is algorithmically attractive since it dispenses with the need for a prior step of individual object recognition. We adopt this approach in our model and represent context …